高等演算法

This course is basically about data mining, machine learning and statistical modeling from data, and some other algorithms and applications.

先修科目或先備能力: For Non-BP student to register/sit-in any BP course, it is required to gain course chair's permission and follow the steps: (1) Submit the hard copy or PDF file of the completed TIGP Bioinformatics Course Registration Consent Form to the TIGP BP office (2) Provide the information via the google form at BP Class Enrollment Information. The deadline for above requirement is the 4th week of each semester. Signature of corresponding BP Course Chair should be collected and incomplete form will not be accepted. ※ Course grade will NOT be given (even class enrollment is completed at school) if fail to follow the above procedures. ※ For the most up-to-date syllabus, please visit https://tigpbp.iis.sinica.edu.tw/tigpbio/index.html

無備註

TA: Yueh-Hua Tu 杜岳華 Email: a504082002@gmail.com Office hours: Friday 10:00 am-12:00 pm Office location: Room 103, Old Building of the Institute of Information Science, Academia Sinica

Midterm exam 50%. Final exam 50%.

• https://tigpbp.iis.sinica.edu.tw/tigpbio/index.html

教科書(請註明書名、作者、出版社、出版年等資訊): 1. Learning from Data- A Short Course (Abu-Mostafa, Magdon-Ismail, Lin, 2012) 2. Learning Pattern Classification (Duda, Harg, and Stork, 2001) 3. An Introduction to Support Vector Machines and Other Kernel-based Learning Methods (Cristianini and Shawe-Taylor, 2000) 4. Convex optimization (Boyd and Vandenberghe, 2004; book and lecture slides available at http://www.stanford.edu/~boyd/cvxbook/ )

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